Reference documentation and code samples for the Google Cloud Dataproc V1 Client class SparkRBatch.
A configuration for running anApache SparkRbatch workload.
Generated from protobuf messagegoogle.cloud.dataproc.v1.SparkRBatch
Namespace
Google \ Cloud \ Dataproc \ V1
Methods
__construct
Constructor.
Parameters
Name
Description
data
array
Optional. Data for populating the Message object.
↳ main_r_file_uri
string
Required. The HCFS URI of the main R file to use as the driver. Must be a.Ror.rfile.
↳ args
array
Optional. The arguments to pass to the Spark driver. Do not include arguments that can be set as batch properties, such as--conf, since a collision can occur that causes an incorrect batch submission.
↳ file_uris
array
Optional. HCFS URIs of files to be placed in the working directory of each executor.
↳ archive_uris
array
Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types:.jar,.tar,.tar.gz,.tgz, and.zip.
getMainRFileUri
Required. The HCFS URI of the main R file to use as the driver.
Must be a.Ror.rfile.
Returns
Type
Description
string
setMainRFileUri
Required. The HCFS URI of the main R file to use as the driver.
Must be a.Ror.rfile.
Parameter
Name
Description
var
string
Returns
Type
Description
$this
getArgs
Optional. The arguments to pass to the Spark driver. Do not include
arguments that can be set as batch properties, such as--conf, since a
collision can occur that causes an incorrect batch submission.
Optional. The arguments to pass to the Spark driver. Do not include
arguments that can be set as batch properties, such as--conf, since a
collision can occur that causes an incorrect batch submission.
Parameter
Name
Description
var
string[]
Returns
Type
Description
$this
getFileUris
Optional. HCFS URIs of files to be placed in the working directory of
each executor.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Google Cloud Dataproc V1 Client - Class SparkRBatch (3.14.0)\n\nVersion latestkeyboard_arrow_down\n\n- [3.14.0 (latest)](/php/docs/reference/cloud-dataproc/latest/V1.SparkRBatch)\n- [3.13.4](/php/docs/reference/cloud-dataproc/3.13.4/V1.SparkRBatch)\n- [3.12.0](/php/docs/reference/cloud-dataproc/3.12.0/V1.SparkRBatch)\n- [3.11.0](/php/docs/reference/cloud-dataproc/3.11.0/V1.SparkRBatch)\n- [3.10.1](/php/docs/reference/cloud-dataproc/3.10.1/V1.SparkRBatch)\n- [3.9.0](/php/docs/reference/cloud-dataproc/3.9.0/V1.SparkRBatch)\n- [3.8.1](/php/docs/reference/cloud-dataproc/3.8.1/V1.SparkRBatch)\n- [3.7.1](/php/docs/reference/cloud-dataproc/3.7.1/V1.SparkRBatch)\n- [3.6.1](/php/docs/reference/cloud-dataproc/3.6.1/V1.SparkRBatch)\n- [3.5.1](/php/docs/reference/cloud-dataproc/3.5.1/V1.SparkRBatch)\n- [3.4.0](/php/docs/reference/cloud-dataproc/3.4.0/V1.SparkRBatch)\n- [3.3.0](/php/docs/reference/cloud-dataproc/3.3.0/V1.SparkRBatch)\n- [3.2.2](/php/docs/reference/cloud-dataproc/3.2.2/V1.SparkRBatch)\n- [2.6.1](/php/docs/reference/cloud-dataproc/2.6.1/V1.SparkRBatch)\n- [2.5.0](/php/docs/reference/cloud-dataproc/2.5.0/V1.SparkRBatch)\n- [2.3.0](/php/docs/reference/cloud-dataproc/2.3.0/V1.SparkRBatch)\n- [2.2.3](/php/docs/reference/cloud-dataproc/2.2.3/V1.SparkRBatch)\n- [2.1.0](/php/docs/reference/cloud-dataproc/2.1.0/V1.SparkRBatch)\n- [2.0.0](/php/docs/reference/cloud-dataproc/2.0.0/V1.SparkRBatch) \nReference documentation and code samples for the Google Cloud Dataproc V1 Client class SparkRBatch.\n\nA configuration for running an\n[Apache SparkR](https://spark.apache.org/docs/latest/sparkr.html)\nbatch workload.\n\nGenerated from protobuf message `google.cloud.dataproc.v1.SparkRBatch`\n\nNamespace\n---------\n\nGoogle \\\\ Cloud \\\\ Dataproc \\\\ V1\n\nMethods\n-------\n\n### __construct\n\nConstructor.\n\n### getMainRFileUri\n\nRequired. The HCFS URI of the main R file to use as the driver.\n\nMust be a `.R` or `.r` file.\n\n### setMainRFileUri\n\nRequired. The HCFS URI of the main R file to use as the driver.\n\nMust be a `.R` or `.r` file.\n\n### getArgs\n\nOptional. The arguments to pass to the Spark driver. Do not include\narguments that can be set as batch properties, such as `--conf`, since a\ncollision can occur that causes an incorrect batch submission.\n\n### setArgs\n\nOptional. The arguments to pass to the Spark driver. Do not include\narguments that can be set as batch properties, such as `--conf`, since a\ncollision can occur that causes an incorrect batch submission.\n\n### getFileUris\n\nOptional. HCFS URIs of files to be placed in the working directory of\neach executor.\n\n### setFileUris\n\nOptional. HCFS URIs of files to be placed in the working directory of\neach executor.\n\n### getArchiveUris\n\nOptional. HCFS URIs of archives to be extracted into the working directory\nof each executor. Supported file types:\n`.jar`, `.tar`, `.tar.gz`, `.tgz`, and `.zip`.\n\n### setArchiveUris\n\nOptional. HCFS URIs of archives to be extracted into the working directory\nof each executor. Supported file types:\n`.jar`, `.tar`, `.tar.gz`, `.tgz`, and `.zip`."]]
